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dc.contributor.authorSchwoebel, Christoph
dc.identifier.citationSchwoebel , C 2018 , ' The Gods of the fourth industrial revolution : philosophies and religions in the age of deep learning ' , Philosophy - Thought - Culture , vol. 27 , no. 6 , pp. 267-290 . < >en
dc.identifier.otherPURE: 257719419
dc.identifier.otherPURE UUID: cf5e384a-1f41-40b2-89eb-1a1a3385df5c
dc.identifier.otherORCID: /0000-0002-1111-253X/work/90568211
dc.description.abstractReading the signs of the times has been regarded as a central task for all religions, perhaps especially for those religions which are directed towards an end of history. Klaus Schwab characterized emerging technologies that bridge the gap between animals and machines as the “the fourth industrial revolution”. The industrial revolutions are accompanied by philosophies and had a significant effect on the traditional religions. The “market” and “the individual” are the God of third industrial revolution, and the task of the traditional religions is to offer a theological critique of these quasi-religions as forms of idolatry. Artificial Intelligence with deep learning might indeed be seen as being able to replace natural intelligence, but these problems will be worked on more easily in a dialogue between the sciences and the humanities which use the wisdom of the religions as resources for dealing with the problems. Therefore the most important thing is that human creatures are to be perfected by God in communion with God.
dc.relation.ispartofPhilosophy - Thought - Cultureen
dc.rights© 2018 Publisher / the Author. This work has been made available online with permission. This is the final published version of the work, which was originally published by Philosophy - Thought - Culture, at
dc.subjectIndustrial Revolutionen
dc.subjectThe Fourth Industrial Revolutionen
dc.subjectTraditional Religionsen
dc.subjectDeep Learningen
dc.subjectArtificial Intelligenceen
dc.subjectBL Religionen
dc.titleThe Gods of the fourth industrial revolution : philosophies and religions in the age of deep learningen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Divinityen
dc.description.statusNon peer revieweden

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